A machine learning framework for automated text categorization
This dissertation describes a machine learning framework for the development of an automated text categorization system for real-life problems. Conference paper classification will be used as a case study of a life text categorization problem. Unlike documents in benchmark collections, text document...
Saved in:
| Main Author: | |
|---|---|
| Format: | Thesis |
| Language: | English |
| Published: |
2001
|
| Subjects: | |
| Online Access: | http://ir.unimas.my/id/eprint/1697/3/BongCH.pdf |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Summary: | This dissertation describes a machine learning framework for the development of an automated text categorization system for real-life problems. Conference paper classification will be used as a case study of a life text categorization problem. Unlike documents in benchmark collections, text documents such as conference papers tend to be rather heterogeneous having a rich structure with variable length documents where each category consists of a variable number of documents. |
|---|